| Feature-combination hybrid recommender systems for automated music playlist continuation A Vall, M Dorfer, H Eghbal-Zadeh, M Schedl, K Burjorjee, G Widmer User Modeling and User-Adapted Interaction 29, 527-572, 2019 | 68 | 2019 |
| Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks M Hofmarcher, A Mayr, E Rumetshofer, P Ruch, P Renz, J Schimunek, ... arXiv preprint arXiv:2004.00979, 2020 | 62 | 2020 |
| End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss M Dorfer, J Schlüter, A Vall, F Korzeniowski, G Widmer International Journal of Multimedia Information Retrieval 7, 117-128, 2018 | 56 | 2018 |
| Towards explainable music emotion recognition: The route via mid-level features S Chowdhury, A Vall, V Haunschmid, G Widmer arXiv preprint arXiv:1907.03572, 2019 | 51 | 2019 |
| Enhancing activity prediction models in drug discovery with the ability to understand human language P Seidl, A Vall, S Hochreiter, G Klambauer International Conference on Machine Learning, 30458-30490, 2023 | 39 | 2023 |
| Exploring music diversity needs across countries B Ferwerda, A Vall, M Tkalcic, M Schedl Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016 | 39 | 2016 |
| The influence of users’ personality traits on satisfaction and attractiveness of diversified recommendation lists B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl 4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE …, 2016 | 39 | 2016 |
| The promise of AI for DILI prediction A Vall, Y Sabnis, J Shi, R Class, S Hochreiter, G Klambauer Frontiers in Artificial Intelligence 4, 638410, 2021 | 37 | 2021 |
| Impact of listening behavior on music recommendation K Farrahi, M Schedl, A Vall, D Hauger, M Tkalcic | 35 | 2014 |
| How item discovery enabled by diversity leads to increased recommendation list attractiveness B Ferwerda, MP Graus, A Vall, M Tkalcic, M Schedl Proceedings of the Symposium on Applied Computing, 1693-1696, 2017 | 34 | 2017 |
| User geospatial context for music recommendation in microblogs M Schedl, A Vall, K Farrahi Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 34 | 2014 |
| Music playlist continuation by learning from hand-curated examples and song features: Alleviating the cold-start problem for rare and out-of-set songs A Vall, H Eghbal-Zadeh, M Dorfer, M Schedl, G Widmer Proceedings of the 2nd workshop on deep learning for recommender systems, 46-54, 2017 | 28 | 2017 |
| Order, context and popularity bias in next-song recommendations A Vall, M Quadrana, M Schedl, G Widmer International Journal of Multimedia Information Retrieval 8, 101-113, 2019 | 24 | 2019 |
| Listener-inspired automated music playlist generation A Vall Proceedings of the 9th ACM Conference on Recommender Systems, 387-390, 2015 | 24 | 2015 |
| The role of quick response in accelerating sales of fashion goods A Lago, V Martínez-de-Albéniz, P Moscoso, A Vall Analytical Modeling Research in Fashion Business, 51-78, 2016 | 21 | 2016 |
| The Importance of Song Context in Music Playlists A Vall, M Schedl, G Widmer, M Quadrana, P Cremonesi | 20 | 2017 |
| Improving Music Recommendations with a Weighted Factorization of the Tagging Activity. A Vall, M Skowron, P Knees, M Schedl ISMIR, 65-71, 2015 | 19 | 2015 |
| A hybrid approach to music playlist continuation based on playlist-song membership A Vall, M Dorfer, M Schedl, G Widmer Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 1374-1382, 2018 | 18 | 2018 |
| BioassayCLR: Prediction of biological activity for novel bioassays based on rich textual descriptions A Vall, S Hochreiter, G Klambauer ELLIS ML4Molecules workshop, 2021 | 13 | 2021 |
| The importance of song context and song order in automated music playlist generation A Vall, M Quadrana, M Schedl, G Widmer arXiv preprint arXiv:1807.04690, 2018 | 10 | 2018 |
